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Prospects of model-based fault diagnostics for dynamic traffic control systems on freeways

Neumann, Thorsten and Estel, Anja (2020) Prospects of model-based fault diagnostics for dynamic traffic control systems on freeways. In: 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020. Research Publishing (S). ESREL 2020 PSAM 15, 01.-06. Nov. 2020, Venedig, Italien. ISBN 978-981148593-0.

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Official URL: https://www.rpsonline.com.sg/proceedings/esrel2020/

Abstract

Dynamic traffic control systems are important technical assets of the road infrastructure with regard to the efficiency and safety of freeway traffic on highly utilized roads. Based on distributed system architectures, they typically consist of numerous local sensors for measuring traffic flow and environmental conditions. Centralized and decentralized hardware and software components are responsible for data processing (including rule-based automated traffic control) and data communication. Human interaction in terms of manual control (as, for instance, in case of accident warnings) as well as continuous system monitoring is realized by operators in a traffic control center. Finally, from the viewpoint of the road users, the most visible components of such traffic control systems are the dynamic traffic signs used for displaying warnings (e.g., congestion, wet or icy road conditions, or accidents), speed limits, and possible restrictions on overtaking. Obviously, dynamic traffic control systems as described above are highly complex assets and thus difficult and expensive to maintain. Moreover, fault identification usually is an effortful manual process currently realized more or less systematically by experienced operators and maintenance engineers in the traffic control center and in the field. Model-based tools for automatic failure detection and diagnosis (i.e., identification of failure reasons) such as Bayesian networks provide the chance to significantly improve current maintenance practices including a possible shift from mostly corrective towards more condition-based and predictive maintenance. The present contribution discusses these potentials from a scientific as well as a practitioner's point of view including a critical review of current maintenance strategies and previous work on failure diagnostics for dynamic traffic control systems.

Item URL in elib:https://elib.dlr.de/130336/
Document Type:Conference or Workshop Item (Speech)
Title:Prospects of model-based fault diagnostics for dynamic traffic control systems on freeways
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Neumann, ThorstenThorsten.Neumann (at) dlr.dehttps://orcid.org/0000-0002-9236-0585
Estel, AnjaLandesbetrieb Straßenbau NRW, LeverkusenUNSPECIFIED
Date:June 2020
Journal or Publication Title:30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Publisher:Research Publishing (S)
ISBN:978-981148593-0
Status:Published
Keywords:Road traffic, dynamic traffic control, fault diagnostics, Bayesian networks, PHM, maintenance
Event Title:ESREL 2020 PSAM 15
Event Location:Venedig, Italien
Event Type:international Conference
Event Dates:01.-06. Nov. 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - D.MoVe
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Neumann, Dr.-Ing. Thorsten
Deposited On:26 Jun 2020 12:16
Last Modified:15 Jun 2021 09:58

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